Batch Fault Detection

Batch Fault Detection is a methodological framework within batch process control that identifies deviations from normal operating conditions in batch processes by analyzing multivariate data trajectories over time to distinguish faulty from fault-free batch executions.

148

Publications

6.8K

Citations

312

Authors

126

Institutions

Publications per year

2017–2026

46

Authors

312

  1. FG
    Furong Gao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    14 publications · 689 citations

    13

    h-index

  2. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    10 publications · 569 citations

    10

    h-index

  3. XY
    Xuefeng Yan

    East China University of Science and Technology, China

    7 publications · 302 citations

    7

    h-index

  4. FW
    Fuli Wang

    Northeastern University, China

    5 publications · 422 citations

    5

    h-index

  5. MJ
    Mingxing Jia

    Northeastern University, China

    5 publications · 386 citations

    5

    h-index

1–5 of 312

Venues

  1. Industrial & Engineering Chemistry Research

    25 publications · 1K citations

    20

    h-index

  2. Journal of Process Control

    14 publications · 956 citations

    14

    h-index

  3. Chemometrics and Intelligent Laboratory Systems

    14 publications · 581 citations

    13

    h-index

  4. Computers & Chemical Engineering

    11 publications · 673 citations

    10

    h-index

  5. AIChE Journal

    6 publications · 217 citations

    6

    h-index

1–5